TaichiNet reads whole-body Tai Chi motion from skeletons to sort subtle moves
A new skeleton-based framework, TaichiNet, combines local spatio-temporal graph modeling with a Transformer encoder to recognize Tai Chi movements, outperforming ...
A new skeleton-based framework, TaichiNet, combines local spatio-temporal graph modeling with a Transformer encoder to recognize Tai Chi movements, outperforming ...
A new zero-watermarking scheme for color medical images uses VGG19 feature extraction, DCT and cyclic chaos encryption to verify copyright ...
A new study reports that a simple Naive Bayes classifier reached 99.05 percent accuracy in distinguishing Somali's MAXAA TIRI and ...
A new review in Cardiovascular Ultrasound explains how artificial intelligence tools, including deep learning PISA segmentation and 3D Auto Color ...
A deep learning model called DeepScope classifies microscopic images of unincubated water samples in seconds, with an estimated per-test cost ...
A phase-adaptive deep learning pipeline automatically quantified five liver indices from gadoxetic acid-enhanced MRI without inter-phase co-registration, matching manual measurements ...
A single Transformer-based decoder trained on the OpenBMI dataset classified eight EEG classes spanning motor imagery, P300, and SSVEP paradigms ...
A dual-modality deep encoder called SIMPLEX achieved the highest R-squared of 0.6712 for predicting adhesion strength of hydrogel formulations collected ...
A new deep learning model combining wavelet decomposition, a CNN and LSTM layers achieved an RMSE of 0.09 in forecasting ...
A systematic review of 94 studies finds that deep learning models, especially GAN-based architectures, outperform classical methods for underwater image ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine